Ph.D. Student, University of Oxford
Kristian Hartikainen is a visiting scholar in the Robotics and AI Lab (RAIL) at UC Berkeley, working with Sergey Levine and Tuomas Haarnoja, and will begin his PhD studies at the University of Oxford with Simon Whiteson in fall 2019. His research focus is on the development of model-free deep reinforcement learning algorithms for robotic control. He’s also working on Ray RLlib, a scalable reinforcement learning library, and Ray Tune, a distributed framework for model training. Kristian is the author and maintainer of Softlearning, the official soft actor-critic project. Previously, he spent several years as a software engineer working on statistical analysis and machine learning products at Statwing and Qualtrics.
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